Microsoft Fabric Data Engineer - SC Cleared

Shareforce Ltd
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 130K

Job location

Remote

Tech stack

Azure
Continuous Integration
Data Architecture
ETL
Data Transformation
Data Systems
Data Warehousing
Python
Scrum
SQL Databases
Data Ingestion
SC Clearance
Microsoft Fabric
Data Management
Data Pipelines

Job description

This is an exciting contract opportunity for an SC Cleared Data Engineer to join a highly experienced team delivering advanced data solutions for a central government client. Our client helps ambitious organisations take control of their data platforms and accelerate their analytics and AI capabilities through modern, scalable architectures.

You will play a key role in designing and delivering data solutions built on Microsoft Fabric, enabling high-quality data ingestion, transformation, and analytics across enterprise environments., * Design, build, and maintain scalable data pipelines and transformation workflows within Microsoft Fabric

  • Develop robust data models, ETL/ELT pipelines, and data integrations using Python and SQL
  • Work closely with stakeholders to gather requirements and translate business needs into scalable data solutions
  • Lead technical discussions and provide guidance on best practices for data architecture and engineering
  • Take ownership of key solution components and ensure successful delivery
  • Support sprint planning, requirements refinement, and effort estimation
  • Ensure data quality, performance, and maintainability across the platform

Requirements

  • Strong experience designing and building end-to-end data solutions using Microsoft Fabric
  • Advanced Python skills for data transformation, orchestration, and pipeline development
  • Expert SQL skills for data modelling, querying, and performance optimisation
  • Experience building data warehouses, lakehouses, or modern analytics platforms
  • Strong understanding of data ingestion, transformation, modelling, and integration
  • Experience working with enterprise-scale data platforms
  • Familiarity with CI/CD practices for data platforms (Azure DevOps or similar)
  • Understanding of data architecture, governance, and best practices
  • Excellent stakeholder communication and collaboration skills

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